Overview

Dataset statistics

Number of variables9
Number of observations179
Missing cells108
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory74.7 B

Variable types

Numeric2
Categorical4
Text3

Dataset

Description인천광역시 남동구 공원 등(lights) 전기시설 안전검사 결과에 대한 데이터로 설비유형, 공원, 제어함명, 주소, 등주, 점검결과 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15113323/fileData.do

Alerts

설비유형 has constant value ""Constant
점검결과 has constant value ""Constant
부적합 내역 정비사항 has constant value ""Constant
데이터기준일 has constant value ""Constant
제어함명 has 108 (60.3%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:34:54.017742
Analysis finished2023-12-12 14:34:54.885226
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:34:54.950419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q145.5
median90
Q3134.5
95-th percentile170.1
Maximum179
Range178
Interquartile range (IQR)89

Descriptive statistics

Standard deviation51.816986
Coefficient of variation (CV)0.57574428
Kurtosis-1.2
Mean90
Median Absolute Deviation (MAD)45
Skewness0
Sum16110
Variance2685
MonotonicityStrictly increasing
2023-12-12T23:34:55.083795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
114 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%

설비유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
공원등
179 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공원등
2nd row공원등
3rd row공원등
4th row공원등
5th row공원등

Common Values

ValueCountFrequency (%)
공원등 179
100.0%

Length

2023-12-12T23:34:55.236370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:55.346380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원등 179
100.0%

공원
Text

Distinct146
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T23:34:55.581575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.301676
Min length4

Characters and Unicode

Total characters1307
Distinct characters182
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)74.9%

Sample

1st row큰구월어린이공원
2nd row만월어린이공원
3rd row큰성말어린이공원
4th row작은성말어린이공원
5th row독점어린이공원
ValueCountFrequency (%)
논현포대근린공원 12
 
6.4%
늘솔길공원 8
 
4.3%
해오름공원 5
 
2.7%
만수1녹지 3
 
1.6%
어울근린공원 3
 
1.6%
호구포근린공원 3
 
1.6%
갯골공원2호 3
 
1.6%
오봉어린이공원 2
 
1.1%
월례공원 2
 
1.1%
독점어린이공원 2
 
1.1%
Other values (141) 144
77.0%
2023-12-12T23:34:56.005946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 169
 
12.9%
원 169
 
12.9%
린 123
 
9.4%
어 89
 
6.8%
이 88
 
6.7%
근 37
 
2.8%
지 30
 
2.3%
녹 20
 
1.5%
호 19
 
1.5%
1 17
 
1.3%
Other values (172) 546
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1242
95.0%
Decimal Number 36
 
2.8%
Space Separator 15
 
1.1%
Uppercase Letter 6
 
0.5%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 169
 
13.6%
원 169
 
13.6%
린 123
 
9.9%
어 89
 
7.2%
이 88
 
7.1%
근 37
 
3.0%
지 30
 
2.4%
녹 20
 
1.6%
호 19
 
1.5%
포 16
 
1.3%
Other values (157) 482
38.8%
Decimal Number
ValueCountFrequency (%)
1 17
47.2%
2 8
22.2%
3 5
 
13.9%
9 2
 
5.6%
8 1
 
2.8%
6 1
 
2.8%
5 1
 
2.8%
4 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
E 2
33.3%
L 2
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1242
95.0%
Common 59
 
4.5%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 169
 
13.6%
원 169
 
13.6%
린 123
 
9.9%
어 89
 
7.2%
이 88
 
7.1%
근 37
 
3.0%
지 30
 
2.4%
녹 20
 
1.6%
호 19
 
1.5%
포 16
 
1.3%
Other values (157) 482
38.8%
Common
ValueCountFrequency (%)
1 17
28.8%
15
25.4%
2 8
13.6%
3 5
 
8.5%
) 3
 
5.1%
( 3
 
5.1%
9 2
 
3.4%
- 2
 
3.4%
8 1
 
1.7%
6 1
 
1.7%
Other values (2) 2
 
3.4%
Latin
ValueCountFrequency (%)
D 2
33.3%
E 2
33.3%
L 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1242
95.0%
ASCII 65
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 169
 
13.6%
원 169
 
13.6%
린 123
 
9.9%
어 89
 
7.2%
이 88
 
7.1%
근 37
 
3.0%
지 30
 
2.4%
녹 20
 
1.6%
호 19
 
1.5%
포 16
 
1.3%
Other values (157) 482
38.8%
ASCII
ValueCountFrequency (%)
1 17
26.2%
15
23.1%
2 8
12.3%
3 5
 
7.7%
) 3
 
4.6%
( 3
 
4.6%
9 2
 
3.1%
- 2
 
3.1%
D 2
 
3.1%
E 2
 
3.1%
Other values (5) 6
 
9.2%

제어함명
Text

MISSING 

Distinct43
Distinct (%)60.6%
Missing108
Missing (%)60.3%
Memory size1.5 KiB
2023-12-12T23:34:56.271893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.2253521
Min length2

Characters and Unicode

Total characters371
Distinct characters39
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)39.4%

Sample

1st row1호
2nd row2호
3rd row1호
4th row근린공원1호 LP3
5th row근린공원1호 LP5
ValueCountFrequency (%)
lp-02 5
 
6.4%
lp-01 5
 
6.4%
lp-03 4
 
5.1%
lp-09 3
 
3.8%
lp-07 3
 
3.8%
lp-12 3
 
3.8%
lp-05 3
 
3.8%
lp-06 3
 
3.8%
lp-20 2
 
2.6%
근린공원1호 2
 
2.6%
Other values (37) 45
57.7%
2023-12-12T23:34:56.659434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
L 62
16.7%
P 62
16.7%
- 56
15.1%
0 32
8.6%
1 31
8.4%
2 27
7.3%
3 10
 
2.7%
호 9
 
2.4%
8
 
2.2%
5 7
 
1.9%
Other values (29) 67
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
35.0%
Uppercase Letter 125
33.7%
Dash Punctuation 56
15.1%
Other Letter 50
 
13.5%
Space Separator 8
 
2.2%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 9
18.0%
근 5
 
10.0%
원 5
 
10.0%
공 5
 
10.0%
린 5
 
10.0%
아 2
 
4.0%
경 2
 
4.0%
관 2
 
4.0%
제 1
 
2.0%
녹 1
 
2.0%
Other values (13) 13
26.0%
Decimal Number
ValueCountFrequency (%)
0 32
24.6%
1 31
23.8%
2 27
20.8%
3 10
 
7.7%
5 7
 
5.4%
6 7
 
5.4%
9 5
 
3.8%
7 5
 
3.8%
4 3
 
2.3%
8 3
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
L 62
49.6%
P 62
49.6%
B 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
# 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 196
52.8%
Latin 125
33.7%
Hangul 50
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 9
18.0%
근 5
 
10.0%
원 5
 
10.0%
공 5
 
10.0%
린 5
 
10.0%
아 2
 
4.0%
경 2
 
4.0%
관 2
 
4.0%
제 1
 
2.0%
녹 1
 
2.0%
Other values (13) 13
26.0%
Common
ValueCountFrequency (%)
- 56
28.6%
0 32
16.3%
1 31
15.8%
2 27
13.8%
3 10
 
5.1%
8
 
4.1%
5 7
 
3.6%
6 7
 
3.6%
9 5
 
2.6%
7 5
 
2.6%
Other values (3) 8
 
4.1%
Latin
ValueCountFrequency (%)
L 62
49.6%
P 62
49.6%
B 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 321
86.5%
Hangul 50
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
L 62
19.3%
P 62
19.3%
- 56
17.4%
0 32
10.0%
1 31
9.7%
2 27
8.4%
3 10
 
3.1%
8
 
2.5%
5 7
 
2.2%
6 7
 
2.2%
Other values (6) 19
 
5.9%
Hangul
ValueCountFrequency (%)
호 9
18.0%
근 5
 
10.0%
원 5
 
10.0%
공 5
 
10.0%
린 5
 
10.0%
아 2
 
4.0%
경 2
 
4.0%
관 2
 
4.0%
제 1
 
2.0%
녹 1
 
2.0%
Other values (13) 13
26.0%

주소
Text

Distinct144
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T23:34:56.989460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length19.24581
Min length17

Characters and Unicode

Total characters3445
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)73.2%

Sample

1st row인천광역시 남동구 구월동 1196-4
2nd row인천광역시 남동구 구월1동 1229-2
3rd row인천광역시 남동구 구월동 1163
4th row인천광역시 남동구 구월동 1192-7
5th row인천광역시 남동구 구월1동 1215-7
ValueCountFrequency (%)
인천광역시 179
25.0%
남동구 179
25.0%
서창동 28
 
3.9%
논현2동 25
 
3.5%
구월동 15
 
2.1%
간석동 14
 
2.0%
논현동 13
 
1.8%
논현고잔동 11
 
1.5%
만수6동 10
 
1.4%
738-8 8
 
1.1%
Other values (156) 235
32.8%
2023-12-12T23:34:57.487308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
539
15.6%
동 358
 
10.4%
구 207
 
6.0%
남 183
 
5.3%
인 179
 
5.2%
광 179
 
5.2%
역 179
 
5.2%
시 179
 
5.2%
천 179
 
5.2%
1 133
 
3.9%
Other values (28) 1130
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1994
57.9%
Decimal Number 781
 
22.7%
Space Separator 539
 
15.6%
Dash Punctuation 127
 
3.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 358
18.0%
구 207
10.4%
남 183
9.2%
인 179
9.0%
광 179
9.0%
역 179
9.0%
시 179
9.0%
천 179
9.0%
현 56
 
2.8%
논 56
 
2.8%
Other values (14) 239
12.0%
Decimal Number
ValueCountFrequency (%)
1 133
17.0%
2 98
12.5%
6 88
11.3%
7 81
10.4%
5 80
10.2%
4 78
10.0%
3 69
8.8%
8 62
7.9%
9 49
 
6.3%
0 43
 
5.5%
Space Separator
ValueCountFrequency (%)
539
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1994
57.9%
Common 1451
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 358
18.0%
구 207
10.4%
남 183
9.2%
인 179
9.0%
광 179
9.0%
역 179
9.0%
시 179
9.0%
천 179
9.0%
현 56
 
2.8%
논 56
 
2.8%
Other values (14) 239
12.0%
Common
ValueCountFrequency (%)
539
37.1%
1 133
 
9.2%
- 127
 
8.8%
2 98
 
6.8%
6 88
 
6.1%
7 81
 
5.6%
5 80
 
5.5%
4 78
 
5.4%
3 69
 
4.8%
8 62
 
4.3%
Other values (4) 96
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1994
57.9%
ASCII 1451
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
539
37.1%
1 133
 
9.2%
- 127
 
8.8%
2 98
 
6.8%
6 88
 
6.1%
7 81
 
5.6%
5 80
 
5.5%
4 78
 
5.4%
3 69
 
4.8%
8 62
 
4.3%
Other values (4) 96
 
6.6%
Hangul
ValueCountFrequency (%)
동 358
18.0%
구 207
10.4%
남 183
9.2%
인 179
9.0%
광 179
9.0%
역 179
9.0%
시 179
9.0%
천 179
9.0%
현 56
 
2.8%
논 56
 
2.8%
Other values (14) 239
12.0%

등주
Real number (ℝ)

Distinct45
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.681564
Minimum0
Maximum71
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:34:57.634460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q319.5
95-th percentile42.3
Maximum71
Range71
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation13.800108
Coefficient of variation (CV)0.93996167
Kurtosis2.4063694
Mean14.681564
Median Absolute Deviation (MAD)5
Skewness1.609428
Sum2628
Variance190.44297
MonotonicityNot monotonic
2023-12-12T23:34:57.763463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5 19
 
10.6%
4 18
 
10.1%
6 16
 
8.9%
8 11
 
6.1%
2 10
 
5.6%
10 8
 
4.5%
11 8
 
4.5%
16 7
 
3.9%
14 7
 
3.9%
7 6
 
3.4%
Other values (35) 69
38.5%
ValueCountFrequency (%)
0 1
 
0.6%
1 1
 
0.6%
2 10
5.6%
3 5
 
2.8%
4 18
10.1%
5 19
10.6%
6 16
8.9%
7 6
 
3.4%
8 11
6.1%
9 3
 
1.7%
ValueCountFrequency (%)
71 1
0.6%
68 1
0.6%
52 1
0.6%
51 2
1.1%
50 1
0.6%
49 2
1.1%
45 1
0.6%
42 1
0.6%
41 1
0.6%
39 2
1.1%

점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
적합
179 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적합
2nd row적합
3rd row적합
4th row적합
5th row적합

Common Values

ValueCountFrequency (%)
적합 179
100.0%

Length

2023-12-12T23:34:57.883901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:57.974568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 179
100.0%

부적합 내역 정비사항
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
없음
179 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row없음
3rd row없음
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 179
100.0%

Length

2023-12-12T23:34:58.072017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:58.173876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 179
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-09-07
179 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-07
2nd row2023-09-07
3rd row2023-09-07
4th row2023-09-07
5th row2023-09-07

Common Values

ValueCountFrequency (%)
2023-09-07 179
100.0%

Length

2023-12-12T23:34:58.271585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:58.350657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-07 179
100.0%

Interactions

2023-12-12T23:34:54.473274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:34:54.274901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:34:54.556330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:34:54.380904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:34:58.404490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번제어함명등주
순번1.0000.5670.501
제어함명0.5671.0000.714
등주0.5010.7141.000
2023-12-12T23:34:58.472338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등주
순번1.0000.499
등주0.4991.000

Missing values

2023-12-12T23:34:54.670689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:34:54.800153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번설비유형공원제어함명주소등주점검결과부적합 내역 정비사항데이터기준일
01공원등큰구월어린이공원<NA>인천광역시 남동구 구월동 1196-44적합없음2023-09-07
12공원등만월어린이공원<NA>인천광역시 남동구 구월1동 1229-25적합없음2023-09-07
23공원등큰성말어린이공원<NA>인천광역시 남동구 구월동 11636적합없음2023-09-07
34공원등작은성말어린이공원<NA>인천광역시 남동구 구월동 1192-74적합없음2023-09-07
45공원등독점어린이공원<NA>인천광역시 남동구 구월1동 1215-77적합없음2023-09-07
56공원등독점어린이공원<NA>인천광역시 남동구 구월1동 1215-72적합없음2023-09-07
67공원등성리어린이공원1호인천광역시 남동구 구월동 455-2(1495)5적합없음2023-09-07
78공원등무지개어린이공원2호인천광역시 남동구 구월1동 5906적합없음2023-09-07
89공원등소공원1호(구월소공원)1호인천광역시 남동구 구월동 440-2(1486-2)5적합없음2023-09-07
910공원등전재울근린공원근린공원1호 LP3인천광역시 남동구 구월1동 49249적합없음2023-09-07
순번설비유형공원제어함명주소등주점검결과부적합 내역 정비사항데이터기준일
169170공원등해오름공원LP-15인천광역시 남동구 논현동 763-213적합없음2023-09-07
170171공원등해오름공원LP-16인천광역시 남동구 논현동 763-234적합없음2023-09-07
171172공원등해오름공원LP-17인천광역시 남동구 논현동 763-252적합없음2023-09-07
172173공원등해오름공원LP-18인천광역시 남동구 논현동 763-233적합없음2023-09-07
173174공원등해오름공원LP-19인천광역시 남동구 논현동 763-231적합없음2023-09-07
174175공원등고잔근린공원LP-20인천광역시 남동구 고잔동 98337적합없음2023-09-07
175176공원등월례공원#1인천광역시 남동구 고잔동 626-716적합없음2023-09-07
176177공원등월례공원#2인천광역시 남동구 고잔동 626-711적합없음2023-09-07
177178공원등유수지근린공원<NA>인천광역시 남동구 고잔동 697-114적합없음2023-09-07
178179공원등복지공원<NA>인천광역시 남동구 고잔동 721-114적합없음2023-09-07